Data Warehousing on AWS

Data Warehousing on AWS is an intermediate-level course that introduces you to the concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. The course lets you explore business intelligence (BI) tools and demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3.

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723 Ratings

15678 Participants

Group Discount

Upto 15%

Comprehensive, Interactive Classroom & Online Training

Extensive hands-on & Practical, skill-based approach

Internationally acclaimed Subject Matter Expertise with 25+ years of Industry and Training Experience

Course Designed According To Corporate Requirements

Data Warehousing on AWS Course Overview

Amazon Redshift changed enterprises’ way of thinking about data warehousing by offering excellent features, scale, and performance while dramatically lowering the cost and effort associated with deploying data warehouse systems. Amazon Redshift is one of the fastest growing AWS services.

Our 3-day Data Warehousing on AWS training program focuses on enabling you to easily build and run enterprise data warehousing in the cloud. The course uses a blended-learning approach including hands-on labs and instructor-led sessions for in-depth understanding of concepts for application in real work scenarios.

Course Curriculum

Audience

This course is designed for:

Database architects
Database administrators
Database developers
Data analysts
Data scientists

Eligibility Criteria

Interested candidates must fulfil the below prerequisites before taking this course:

Completion of the AWS Technical Essentials course or have equivalent experience
Familiarity with relational databases and database design concepts

Course Objectives

This course helps you to learn how to:

Evaluate the relationship between Amazon Redshift and other Big Data systems
Evaluate use cases for data warehousing workloads and review real-world implementation of AWS data and analytic services as part of a data warehousing solution
Evaluate approaches and methodologies for designing data warehouses
Design the data warehouse to make effective use of compression, data distribution, and sort methods
Understand which security features are appropriate for Amazon Redshift, such as encryption, IAM permissions, and database permissions
Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud
Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3, to contribute to the data warehousing solution
Identify data sources and assess requirements that affect the data warehouse design
Load and unload data and perform data maintenance tasks
Write queries and evaluate query plans to optimize query performance
Configure the database to allocate resources such as memory to query queues and define criteria to route certain types of queries to your configured query queues for improved processing
Audit, monitor, and receive event notifications about activities in the data warehouse by using features and services such as Amazon Redshift database audit logging, Amazon CloudTrail, Amazon CloudWatch, and Amazon Simple Notification Service (Amazon SNS)
Prepare for operational tasks such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters
Use a BI application to perform data analysis and visualization tasks against your data

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Training Options

ONLINE TRAINING

Instructor-Led Session

3 Days Instructor led Online Training
Experienced Subject Matter Experts
Approved and Quality Ensured training Material
24*7 learner assistance and support

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CORPORATE TRAINING

Customized to your team's need

Customized Training Across Various Domains
Instructor Led Skill Development Program
Ensure Maximum ROI for Corporates
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Course Outline

Day 1

Course Introduction
Introduction to Data Warehousing
Introduction to Amazon Redshift
Understanding Amazon Redshift Components and Resources
Launching an Amazon Redshift Cluster

Day 2

Reviewing Data Warehousing Approaches
Identifying Data Sources and Requirements
Designing the Data Warehouse
Loading Data into the Data Warehouse

Day 3

Writing Queries and Tuning Performance
Maintaining the Data Warehouse
Analyzing and Visualizing Data
Course Summary

Course Reviews

This course is a great beginning for those without any background on AWS Redshift and data warehousing concepts. The topics discussed were interesting and the trainer ensured we understand them well with more focus on hands-on labs.

Eric .A

Data Engineer

Overall a good course covering the basics about data warehousing. But you must have prior exposure and knowledge of data warehousing designs. Trainers, course material and other hands-on resources make up a great learning environment in Vinsys trainings. So, I recommend taking this course from them

Frank .K

Database Developer

FAQ's

Why should I learn Data Warehousing on AWS course from Vinsys?

Vinsys has some of the world-class trainers for AWS courses. Being in the training industry for over two decades now, they thrive to deliver their best with every course. Trainers at Vinsys ensure concepts are well-understood and that learning happens both theoretically as well as practically. You can trust their training strategies and methodologies as they are as per the latest industry trends.